Mark Lankisch

1.4k citations
36 papers · 1.1k indexed · h-index 20

Impact in

Papers in

Mark Lankisch

36 papers receiving 1.0k citations

Peers

Mark Lankisch
Comparison fields: 5 of 86
  • Cardiology and Cardiovascular Medicine 482
  • Endocrinology, Diabetes and Metabolism 332
  • Physiology 131
  • Surgery 218
  • Rheumatology 69
Replace Chih‐Sheng Chu with:
Chih‐Sheng Chu Taiwan
Aaron Wong United Kingdom
Bogna Wierusz‐Wysocka Poland
Αntonios Lazaridis Greece
H. Mayaudon France
Kentaro Watanabe Japan
Minghui Li China
P Pietri Greece
Huandong Lin China
Dominik Skiba Poland
Mark Lankisch relative to Chih‐Sheng Chu Taiwan Chih‐Sheng Chu's profile →
Citations per field
00.5×1.5×1.8×
Chih‐Sheng Chu · 1×
Citations per year

Countries citing papers authored by Mark Lankisch

Since Specialization
Citations

This map shows the geographic impact of Mark Lankisch's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Lankisch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Lankisch more than expected).

Fields of papers citing papers by Mark Lankisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Lankisch. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Lankisch. The network helps show where Mark Lankisch may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark Lankisch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Lankisch Line = papers co-authored together Mark Lankisch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009121
2 200898
3 200993
4 201070
5 200151
6 199846
7 201041
8 201039
9 201037
10 200837
11 200837
12 200433
13 201132
14 200631
15
Fator de diferenciação de crescimento 15: um novo biomarcador em pacientes com disfunção diastólica?
201128
16 201027
17 201124
18 201123
19 200221
20 200919

About Mark Lankisch

Mark Lankisch is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Rheumatology and Immunology and Allergy, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (14 papers), Cardiac Imaging and Diagnostics (7 papers), Diabetes Treatment and Management (7 papers), Metabolism, Diabetes, and Cancer (5 papers), Diabetes Management and Research (4 papers), Heart Failure Treatment and Management (4 papers), Cardiac Valve Diseases and Treatments (4 papers) and Parvovirus B19 Infection Studies (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (482 citations), Endocrinology, Diabetes and Metabolism (332 citations), Physiology (131 citations), Surgery (218 citations) and Rheumatology (69 citations). Mark Lankisch has collaborated with scholars based in Germany, United States and Belarus. Frequent co-authors include Reiner Füth, Wilfried Dinh, Thomas Scheffold, Werner Nickl, Werner A. Scherbaum, Michael Coll Barroso, Thomas Krahn, Eugene P. DiMagno, Alexander Bufe and Jack L. Leahy. Their work appears in journals such as BMC Cardiovascular Disorders, Cardiovascular Diabetology, Mayo Clinic Proceedings, Clinical Research in Cardiology and The American Journal of Gastroenterology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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